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Each year, the\u00a0Microsoft Research eScience Workshop\u00a0provides a forum for scientists and researchers to share their experiences and expertise with the academic and research communities. The eScience Workshop fosters collaboration, facilitates the sharing of software components and techniques, and defines rich, open scientific challenges. Microsoft has been actively pursuing research in eScience for more than 10 years; the book, The Fourth Paradigm: Data-Intensive Scientific Discovery<\/em><\/a>, provides a background on its many areas of focus.Opens in a new tab<\/span><\/p>\n \t Speaker: <\/strong>Tony Hey, Microsoft Research | <\/span>slides<\/a><\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t Chair:<\/strong> Kristin Tolle, Microsoft Research<\/p>\n Speaker:<\/strong> Drew Purves, Microsoft Research | video<\/a> | slides<\/a><\/p>\n To manage the planet on which we all depend, we need to predict the future outcome of various options. How would biofuel subsidies affect crop prices affect deforestation? CO2 emissions affect climate change affect fire? At present, we cannot make such predictions with any confidence. But, as I\u2019ll show in this talk, a computational approach to environmental science can change that. I\u2019ll explain how we built the first fully data-constrained model of the terrestrial carbon cycle, using Big Data, cloud computing, and machine learning. And I\u2019ll demo similar models for global food production, Amazon deforestation, and bird biodiversity. The prototype tools on which these models have been built\u2014for example, FetchClimate, Filzbach, WorldWide Telescope\u2014are freely available, and will hopefully allow other scientists to adopt a rigorous approach to modeling the complexities of the biosphere.<\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t Chair:<\/strong> Yan Xu, Microsoft Research<\/p>\n Panel: Open Data for Open Science\u2014Data Interoperability | video<\/a><\/strong><\/p>\n Speakers:<\/b><\/p>\n The goal of cross-domain interoperability is to enable reuse of data and models outside the original context in which these data and models are collected and used and to facilitate analysis and modeling of physical processes that are not confined to disciplinary or jurisdictional boundaries. A new research initiative of the U.S. National Science Foundation, called EarthCube, is developing a roadmap to address challenges of interoperability in the Earth sciences and create a blueprint for community-guided cyberinfrastructure accessible to a broad range of geoscience researchers and students.<\/p>\n The panel will discuss this and related initiatives and projects, focusing on challenges of data discovery, interpretation, access, and integration across domain information systems, assessment of their readiness for cross-domain integration, and technologies enabling interoperability in the geosciences.<\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t Chair:<\/strong> Kristin Tolle, Microsoft Research<\/p>\n Panel: Enabling Multi-Scale Science<\/strong> | video<\/a><\/p>\n Speakers: <\/strong><\/p>\n eScience research increasingly involves the need to facilitate multi-scale problem solving that spans wide ranges in space and time scales. It requires collaboration among researchers and practioneers from multiple disciplines, each with their own orientations towards problem identification, solution formulation and implementation. The panel aims to discuss some of the challenges of working in multi-scale scenarios.<\/p>\n Panelists will present these challenges from two perspectives: application, and computing approaches. The first perspective will focus on issues such as scientific profiles involved, scales considered, data collected and produced, models and visualization needs. The second viewpoint will consider, among others, characteristics of data and storage structures to accommodate the wide variety of data scales and formats, language\/workflow constructs that may facilitate the specification, execution and interaction of models, and interface\/interaction primitives.<\/p>\n The Internet of Databases\u2014Generalizing the Archaeo Informatics Approach<\/strong> | video<\/a> | slides<\/a><\/p>\n Speaker:<\/strong> Chris van der Meijden, Ludwig Maximilians University of Munich, Germany<\/p>\n One thing we have learned from our Archaeo-Data-Network is that there is a need to split meta information of databases in two levels. The first level contains a centralized unique ID and very few standard information. The second level of meta information is defined by the archaeo scientist. This can be implemented for any kind of archaeo database, so the network’s extensibility is virtually unlimited. The advantage of this dual meta approach is its flexible connectivity and, therefore, getting comprehensive data transparent available for general searching and mining. With this approach huge, rigid archives can be connected to small, flexible databases for scientific analysis in any scientific domain. Combined with simple authorization management for unpublished data, we see in our system the potential of being the general blueprint for an eScience infrastructure that we call the Internet of databases.<\/p>\n Combining Semantic Tagging and Support Vector Machines to Streamline the Analysis of Animal Accelerometry Data <\/strong>| video<\/a> | slides<\/a><\/p>\n Speaker:<\/strong> Nigel Ward, The University of Queensland<\/p>\n Increasingly, animal biologists are taking advantage of low cost micro-sensor technology by deploying accelerometers to monitor the behaviour and movement of a broad range of species. The result is an avalanche of complex tri-axial accelerometer data streams that capture observations and measurements of a wide range of animal body motion and posture parameters. We present a system that supports storing, visualizing, annotating and automatic recognition of activities in accelerometer data streams by integrating semantic annotation and visualization services with Support Vector Machine techniques.<\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t Chair:<\/strong> Yan Xu, Microsoft Research | slides<\/a><\/p>\n Panel: Handling Big Data for the Environmental Informatics \/ Real-Time Environmental Observation, Modeling, and Decision Support<\/b> | video<\/a><\/p>\n Speakers:<\/b><\/p>\n Earth observations and other environmental data collection methods help us accumulate terabytes to petabytes of datasets. This pose a grand challenge to the informatics for environmental studies. We propose this session to capture the latest development on the Big Data collection, processing, and visualization in several aspects.<\/p>\n With increasing near-real-time availability of embedded and mobile sensors, radar, satellite, and social media, the opportunities to improve understanding, modeling, and management of environmental systems, as well as the built and human systems that interact with environmental systems, is immense.<\/p>\n \t Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t<\/p>\n Chair:<\/strong> Dennis Gannon, Microsoft Research<\/p>\n Active Publications <\/strong>| video<\/a><\/p>\n Speakers:<\/strong><\/p>\n The e-Science domain brings together scientists, experts, and engineers to enterprise comprehensive, large-scale data and computational cyberinfrastructures. The objective is to advance knowledge discovery in the sciences and establish effective channels of communication between the various disciplines. Software, data, workflows, technical reports, and publications are often the modes of this communication. However, currently all these modes of communication are disconnected from each other.<\/p>\n E-publishing is changing the nature of scientific communication through digital publication repositories and libraries. But the larger and more pertinent issue is connecting these yet static digital e-publications repositories to large amounts of computation, data, derived data, and extracted information.<\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t Chair: <\/strong>Kenji Takeda, Microsoft Research | slides<\/a><\/p>\n Panel: Cloud Computing – What Do Researchers Want?<\/strong> | video<\/a><\/p>\n Speakers:<\/b><\/p>\n Cloud computing for science is seeing take-up in many disciplines, but many researchers are skeptical. In this panel session we will discuss:<\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t Chair:<\/b> Harold Javid, Microsoft Research<\/p>\n Machine-Assisted Thought<\/b> <\/b>| video<\/a> | slides<\/a><\/p>\n Speaker:<\/strong> Michael J. Kurtz, Harvard-Smithsonian Center for Astrophysics<\/p>\n I suggest that there are two distinct branches of eScience, both fundamentally enabled by the explosion of capabilities inherent in the information age. The first concerns the use of numbers, measurements from arrays of sensors, outputs from simulations, and so forth. The techniques of eScience increase our ability to perceive massive amounts of data by factors of billions or trillions. I call this Machine Assisted Perception<\/em>.<\/p>\n The second branch of eScience concerns the use of words, the verbal abstractions used by humans to communicate ideas. The new technologies of digital libraries and search engines have already substantially changed the scholarly thought process, growth in the capabilities of these technologies continues to be rapid. I call this machine\/human collaboration Machine Assisted Thought<\/em>.<\/p>\n DemoFest<\/strong> | video<\/a> | slides<\/a><\/p>\n Chair: <\/strong>Jim Pinkelman, Microsoft Research<\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t <\/strong><\/p>\n Presenter: <\/strong>Rob Fatland, Microsoft Research<\/p>\n Layerscape is a set of (combined cloud\/desktop) data visualization and collaboration tools provided at no cost by Microsoft Research. We describe how these tools (visualization engine, developer toolkit, RESTful API, Excel add-in, story authoring environment, collaboration\/sharing website) can provide researchers and developers a way of addressing data deluge problems commonly faced in geoscience research. As a particular case study, we will discuss unfolding data streams from many sensors operated from autonomous underwater vehicles during a September 2012 experiment conducted by the Monterey Bay Aquarium Research Institute (MBARI) off the California coast. Additional visualizations will also be available for perusal and discussion, and may be freely searched and viewed at the support website (opens in new tab)<\/span><\/a>.<\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t Presenter:<\/b> Ian Foster, University of Chicago and Argonne National Laboratory; Steve Tuecke, University of Chicago; Vas Vasiliadis, University of Chicago<\/p>\n In millions of labs worldwide, researchers struggle with massive data, advanced software, complex experimental protocols, and burdensome reporting. The emergence of cloud computing offers the opportunity to accelerate discovery and innovation while reducing costs by outsourcing time-consuming information technology tasks from individual labs and institutions to third-party providers. Over the past two years, we have developed a cloud-hosted, high-performance data movement service that is currently used by thousands of researchers at campuses and institutions worldwide. We are expanding the capabilities we offer en route to our goal of delivering a comprehensive research data management solution comprising storage, sharing, cataloging, archiving, and other critical functions as a service. We expect these services will be particularly valuable to those investigators in small and medium-sized laboratories that face significant challenges in developing, deploying, and operating IT infrastructure to support their work.<\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t Presenter: <\/b>Eamonn Maguire, University of Oxford<\/p>\n Minimum reporting guidelines, terminologies, and formats (referred to generally as community standards) are increasingly used in the structuring and curation of datasets, enabling data annotation to varying degrees and reproducible research. But how can we enable researchers to make use of existing community standards, maximize curation and sharing, and subsequently reuse richly annotated experimental information? A successful example is provided by the Investigation\/Study\/Assay (opens in new tab)<\/span><\/a> (ISA) open source, metadata tracking framework supported by the growing ISA Commons (opens in new tab)<\/span><\/a> community.<\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t Presenter:<\/strong> Tanu Malik, University of Chicago and Argonne National Laboratory<\/p>\n The exponential growth in the amount of scientific data means that revolutionary measures are needed for data management, analysis and accessibility. Online scientific databases\u2014such as the SkyServer in astronomy, the Protein Data Bank in biology, and the PubChem in chemistry\u2014are important repositories for publishing and accessing large scientific datasets. These databases have also become sources for new scientific research; researchers routinely interact with these repositories to search, download, and analyze relevant datasets. However, these interactions remain largely disconnected with the final outcomes of research, such as publications and journal articles. We will demonstrate components of the Science Object Linking and Embedding (opens in new tab)<\/span><\/a> (SOLE) system, which aims to create interactive publications and make it easy to capture interactions with the online databases and associate them with publications.<\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t Presenter: <\/b>Carly Strasser, California Digital Library<\/p>\n DataUp is a project sponsored by Microsoft Research and theGordon and Betty Moore Foundation, conducted at the University of California Curation Center of the California Digital Library. The project\u2019s goal was to develop tools that help researchers document, organize, preserve, and share their scientific data. We focused on assisting Earth, environmental, and ecological scientists, since these groups historically have not practiced good data stewardship. In this session, we will demonstrate the DataUp add-in for Excel and the DataUp web application. Both the add-in and the web application perform four main tasks:<\/p>\n Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t![\"escience2012_chicago.jpg\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/en-us-events-escience2012-escience2012_chicago.jpg\")
The ninth annual Microsoft eScience Workshop was held October 8 and 9 at the Hyatt Regency Chicago in conjunction with the IEEE International Conference on eScience 2012 (opens in new tab)<\/span><\/a>. Discussions and presentations once again related to the theme of\u00a0eScience in Action<\/em>. In addition to sessions on a variety of topics, we announced the winer of the Microsoft Research 2012 Jim Gray eScience Award at the workshop. Microsoft Research bestows this annual award on a researcher who has made an outstanding contribution to the field of data-intensive computing.<\/p>\nJim Gray eScience Award Winner Announced<\/h2>\n
![\"escience2012_jimgrayaward-winner.jpg\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/en-us-collaboration-focus-escience-escience2012_jimgrayaward-winner.jpg\")
Antony John Williams (opens in new tab)<\/span><\/a> was announced as the winner of the 2012 Jim Gray eScience Award<\/a> at this year’s eScience Workshop. Vice president of strategic development and head of Chemoinformatics for the Royal Society of Chemistry, Antony has pursued a career built on rich experience in experimental techniques, implementation of new nuclear magnetic resonance technologies, research and development, and teaching, as well as analytical laboratory management. He has been a leader in making chemistry publically available through collective action: his work on ChemSpider helps provide fast text and structure search access to data and links on more than 28 million chemicals, and this resource is freely available to the scientific community and the general public. Learn more… (opens in new tab)<\/span><\/a><\/p>\nAbout the Workshop<\/h2>\n
Monday, October 8, 2012<\/h2>\n
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